中国物理B ›› 2015, Vol. 24 ›› Issue (12): 120501-120501.doi: 10.1088/1674-1056/24/12/120501

• SPECIAL TOPIC—8th IUPAP International Conference on Biological Physics • 上一篇    下一篇

Langevin approach with rescaled noise for stochastic channel dynamics in Hodgkin-Huxley neurons

黄艳东, 李翔, 帅建伟   

  1. Department of Physics, Xiamen University, Xiamen 361005, China
  • 收稿日期:2015-04-29 修回日期:2015-08-20 出版日期:2015-12-05 发布日期:2015-12-05
  • 通讯作者: Shuai Jian-Wei E-mail:jianweishuai@xmu.edu.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation for Distinguished Young Scholars of China (Grant No. 11125419), the National Natural Science Foundation of China (Grant No. 10925525), and the Funds for the Leading Talents of Fujian Province, China.

Langevin approach with rescaled noise for stochastic channel dynamics in Hodgkin-Huxley neurons

Huang Yan-Dong (黄艳东), Li Xiang (李翔), Shuai Jian-Wei (帅建伟)   

  1. Department of Physics, Xiamen University, Xiamen 361005, China
  • Received:2015-04-29 Revised:2015-08-20 Online:2015-12-05 Published:2015-12-05
  • Contact: Shuai Jian-Wei E-mail:jianweishuai@xmu.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation for Distinguished Young Scholars of China (Grant No. 11125419), the National Natural Science Foundation of China (Grant No. 10925525), and the Funds for the Leading Talents of Fujian Province, China.

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摘要： The Langevin approach has been applied to model the random open and closing dynamics of ion channels. It has long been known that the gate-based Langevin approach is not sufficiently accurate to reproduce the statistics of stochastic channel dynamics in Hodgkin-Huxley neurons. Here, we introduce a modified gate-based Langevin approach with rescaled noise strength to simulate stochastic channel dynamics. The rescaled independent gate and identical gate Langevin approaches improve the statistical results for the mean membrane voltage, inter-spike interval, and spike amplitude.

关键词: Langevin approach, rescaled noise, stochastic channel dynamics, Hodgkin-Huxley model

Abstract: The Langevin approach has been applied to model the random open and closing dynamics of ion channels. It has long been known that the gate-based Langevin approach is not sufficiently accurate to reproduce the statistics of stochastic channel dynamics in Hodgkin-Huxley neurons. Here, we introduce a modified gate-based Langevin approach with rescaled noise strength to simulate stochastic channel dynamics. The rescaled independent gate and identical gate Langevin approaches improve the statistical results for the mean membrane voltage, inter-spike interval, and spike amplitude.

Key words: Langevin approach, rescaled noise, stochastic channel dynamics, Hodgkin-Huxley model

中图分类号:  (Stochastic analysis methods)

  • 05.10.Gg
87.19.ll (Models of single neurons and networks) 05.40.-a (Fluctuation phenomena, random processes, noise, and Brownian motion) 82.39.Wj (Ion exchange, dialysis, osmosis, electro-osmosis, membrane processes)